2 дня назад
Senior Software Developer (LLM)
86 300 - 12 302 499CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Developer (LLM): Developing microservices and tools that provide new capabilities to the ARIA LLM model with an accent on Python, AWS infrastructure, testing, and infrastructure as code. Focus on debugging distributed services, integrating AI research findings, improving algorithms, and supervising component deployments.
Location: Montreal, Quebec, Canada; hybrid workplace with specific in-office days each month.
Annual base salary: CAD 86,300–123,024.99.
Company
creates sustainable and efficient climate solutions for buildings, homes, and transportation, including through BrainBox AI, Trane, and Thermo King.
What you will do
- Develop, design, and implement microservices and tools that provide new capabilities to the ARIA LLM model.
- Design new software programs, websites, applications, and advanced programming solutions.
- Develop, upgrade, maintain, and troubleshoot existing services and code.
- Conduct feasibility studies, propose software enhancements, and manage project timelines and tasks.
- Perform code reviews, create technical documentation, and document development processes.
- Collaborate with development managers and the AI Research team, participate in Scrum meetings, and help supervise deployments.
Requirements
- Bachelor’s or master’s degree in software engineering, computer science, or equivalent experience.
- 5+ years of experience in a related field.
- Professional experience with Python, object-oriented programming, unit testing, and pytest.
- Experience with microservices, AWS infrastructure and managed services, including Lambda, queues, API Gateway, CloudWatch, and IAM roles.
- Knowledge of Terraform, CDK, CloudFormation, or a similar infrastructure-as-code language; Linux and task automation experience are required.
- Familiarity with LLM architecture, software development best practices, Git, debugging, technical documentation, and cross-team communication.
Nice to have
- Experience with the FastAPI framework.
- Experience with machine learning research or development.
Culture & Benefits
- Collaborative environment with growth opportunities.
- Opportunity to contribute to climate-change mitigation through sustainable technology.
- Inclusive workplace focused on diversity, safety, and employee development.
- Comprehensive benefits and programs.
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